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Record W159087302

You Must Be a Duet in Everything: An Examination of the Body in Wyndham Lewis's Tarr

2006· article· en· W159087302 on OpenAlexaboutno aff
Lindsey Schneider

Bibliographic record

VenueScholarly Commons (University of Pennsylvania) · 2006
Typearticle
Languageen
FieldArts and Humanities
TopicViolence, Religion, and Philosophy
Canadian institutionsnot available
Fundersnot available
KeywordsArt historyArtDramaPaintingModernism (music)PortraitPoetryHumanitiesVisual artsLiterature
DOInot available

Abstract

fetched live from OpenAlex

Wyndham Lewis is a much-ignored Canadian born British artist who alongside Ezra Pound, TS Eliot, Virginia Woolf, and James Joyce (all of whom he was friends with at various points in his life) helped form what we now call English High Modernism. Along with Ezra Pound in 1914, he founded the only avant-garde English art movement: Vorticism. Lewis was in his early thirties by that time, and had already joined and left the Bloomsbury Group. Although Vorticism is Lewis's creation that gets him the most attention, his work defies classification: the list of his writings contains literature, philosophy, sociology, political science, journalism, short stories, art critiques, two autobiographies, travel essays, drama, and poetry, and he edited numerous journals, while he painted dozens upon dozens of paintings and drew feverishly before he went blind in the early 1950s. His visual style in his paintings ranges from 'normal' representational portraits, to cubist, futurist, Vorticist, and various non-representational styles.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.085
Threshold uncertainty score0.169

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0230.025
Scholarly communication0.0100.007
Open science0.0010.007
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0080.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.024
GPT teacher head0.197
Teacher spread0.173 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2006
Admission routes1
Has abstractyes

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